gwfa: Geographically Weighted Fractal Analysis

Performs Geographically Weighted Fractal Analysis (GWFA) to calculate the local fractal dimension of a set of points. GWFA mixes the Sandbox multifractal algorithm and the Geographically Weighted Regression. Unlike fractal box-counting algorithm, the sandbox algorithm avoids border effects because the boxes are adjusted on the set of points. The Geographically Weighted approach consists in applying a kernel that describes the way the neighbourhood of each estimated point is taken into account to estimate its fractal dimension. GWFA can be used to discriminate built patterns of a city, a region, or a whole country.

Version: 0.0.4
Imports: methods, Rcpp (≥ 0.11.3), sp
LinkingTo: Rcpp
Suggests: rgdal, rgeos
Published: 2016-11-17
Author: Francois Semecurbe, Stephane G. Roux, and Cecile Tannier
Maintainer: Francois Semecurbe <francois.semecurbe at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: gwfa results


Reference manual: gwfa.pdf


Package source: gwfa_0.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gwfa_0.0.4.tgz, r-oldrel (arm64): gwfa_0.0.4.tgz, r-release (x86_64): gwfa_0.0.4.tgz, r-oldrel (x86_64): gwfa_0.0.4.tgz


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